Volume 9 Number 5 (May 2014)
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JSW 2014 Vol.9(5): 1217-1222 ISSN: 1796-217X
doi: 10.4304/jsw.9.5.1217-1222

The Application of SWRL Based Ontology Inference for Privacy Protection

Qiang Ge, Guohua Shen, Zhiqiu Huang, Changbo Ke
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Abstract—The phenomena of illegal disclosure of user privacy has become more serious considerably in the last years. How to protect user privacy and prevent user privacy from illegal disclosure has become of great interest to researchers. In this paper, we propose an approach of user privacy protection based on ontology inference. We create privacy ontology through detailed analysis of privacy domain. Then, we reason the privacy ontology with Semantic Web Rule Language (SWRL) rule of user privacy preference. By creating ontology and SWRL rules, then reasoning logically, we can find adequate service whose privacy policy coincides with user privacy preference and protect user privacy effectively. The result of experiment shows that the approach proposed in this paper is feasible and effective.

Index Terms—Ontology Inference, Semantic Web Rule Language (SWRL), Rules, Reasoning


Cite: Qiang Ge, Guohua Shen, Zhiqiu Huang, Changbo Ke, "The Application of SWRL Based Ontology Inference for Privacy Protection," Journal of Software vol. 9, no. 5, pp. 1217-1222, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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